Projects

Project URL: https://github.com/Insignite/SVM-Food101-Classification This project is my part taken from the main project GitHub food_classification. I’ve done two deep learning algorithms, SSD Inception v2 for Card 9-A Object Detection and AlexNet architecture for DogvsCat Classification, so I would like to dive deeper into the Machine learning field by working on an algorithm even earlier than AlexNet. Support Vector Machines […]

Project URL: https://github.com/Insignite/Alexnet-DogvsCat-Classification I want to build a simple Deep Learning model for image classification on Kaggle Dog vs. Cat Dataset. In this project, I decided to use AlexNet architecture as it repeatedly mentions during my Machine Learning course. This project is simple enough that helps me understand Alexnet, familiarize myself with Keras, and gain more

Project URL: https://github.com/Insignite/MessagingWebsite Disclosure: The goal of this project is to learn how to create a general messaging website, which included log-in, sign-up, add/remove friends, and a messaging system. It helping me being more involve with the Web Development field and familiarize myself with Angular 6, Socket IO, Json Web Token, CORS, MongoDB, etc. This is

Project Link: https://github.com/Insignite/TensorFlow-Object-Detection-API Summary This repository is a personal project aiming to understand and learn TensorFlow’s Object Detection API by training an object detection classifier for multiple objects detection on Windows (This was test on Windows 10). The repository contain both project code for card detection under “./workspace/training_demo/” directory and the entire TensorFlow Object Detection

Project URL: https://github.com/Insignite/Memory-Management Computer languages often required a way to dynamically allocate memory, which means that memory is acquired while the program is running. This contrasts with static memory allocation. The project simply is a simple memory manager, which allow the user to allocate and release memory, tracking of available memory, used, and how much